Daria 分享她从医学院到意识到生物学需要 AI 的旅程，以及像 o1 预览版这样的早期推理模型如何改变了她对 AI 在科学中不可避免性的看法。
Daria shares her journey from medical school to realizing biology needs AI, and how early reasoning models like o1 preview changed her perspective on AI's inevitability in science.
要点 · TL;DR
AI 将实现近乎 100%有效且无副作用的个性化医疗。 AI will enable personalized medicine with near 100% efficacy and zero side effects.
患者的数字孪生将把临床试验从数年缩短到数天。 Digital twins of patients will accelerate clinical trials from years to days.
在 AI 时代，主动性和好奇心是唯一重要的技能。 Agency and curiosity are the only skills that matter in the age of AI.
核心观点 · Key points
AI 将实现近乎 100%疗效且零副作用的个性化医疗。 AI will enable personalized medicine with near 100% efficacy and zero side effects.
患者的数字孪生将把临床试验从数年缩短到数天。 Digital twins of patients will accelerate clinical trials from years to days.
AI 智能体将自动化假设生成、实验模拟和数据分析。 AI agents will automate hypothesis generation, experiment simulation, and data analysis.
在 AI 时代，主动性和好奇心是唯一重要的技能。 Agency and curiosity are the only skills that matter in the age of AI.
AI 将把生物学转变为工程学科，实现细胞编程。 AI will transform biology into an engineering discipline, enabling cell programming.
反共识 · Contrarian takes
15 年内，衰老将被逆转，人类将活到数百岁。 Within 15 years, aging will be reversed and humans will live hundreds of years.
当前算力不足以模拟生物系统；需要大规模 Scaling（规模扩张）。 Current compute is insufficient to simulate biological systems; massive scaling needed.
AI 可以发展出相当于 30 年实验室经验的直觉。 AI can develop intuition equivalent to 30 years of lab experience.
大多数科学家对采用 AI 犹豫不决，但他们将被抛在后面。 Most scientists are hesitant to adopt AI, but they will be left behind.
科学将从假设驱动转向 AI 智能体驱动的发现。 Science will shift from hypothesis-driven to AI-agent-driven discovery.
本期章节 · Chapters（共 13）
引言：生物学对AI的早期需求Introduction and early realization of AI need in biology
初体验推理模型（o1预览）First experience with reasoning models (o1 preview)
AI：科学发展的必然AI as inevitable for science
当前与Claude Codex的日常协作Current routine with Claude Codex
用Codex桥接免疫学与软件Using Codex to bridge immunology and software
AI构建流式细胞分析应用Building a Flow Cytometry Analysis App with AI